GANAK- A Probabilistic Exact Model Counter

GANAK takes in a CNF formula F and a confidence delta as input and returns count such that count is the number of solutions of F with confidence at least 1 - delta. GANAK supports projected model counting (see below).

To read more about technical algorithms in Ganak, please refer to our paper

Installation

Compiling in Linux

To build ganak, issue:

sudo apt-get install libgmp-dev libmpfr-dev libmpc-dev
git clone https://github.com/meelgroup/ganak
mkdir build && cd build
cmake ..
make

For Mac, pass option cmake -DDOPCC=OFF ... to cmake

Model Counting

To count, run:

cd build
./ganak myfile.cnf

Projected Model Counting

For some applications, one is not interested in solutions over all the variables and instead interested in counting the number of unique solutions to a subset of variables, called sampling set. GANAK allows you to specify the sampling set using the following modified version of DIMACS format:

$ cat myfile.cnf
p cnf 500 1
c ind 1 3 4 6 7 8 10 0
3 4 0

Above, using the c ind line, we declare that only variables 1, 3, 4, 6, 7, 8 and 10 form part of the sampling set out of the CNF's 500 variables 1,2...500. This line must end with a 0. The solution that GANAK will be giving is essentially answering the question: how many different combination of settings to this variables are there that satisfy this problem? Naturally, if your sampling set only contains e.g. 7 variables, then the maximum number of solutions can only be at most 2**7 = 128. This is true even if your CNF has thousands of variables. Here, we only have 2**5*3 solutions however, since we ban -3,-4 solution from the tuple (3,4).

Note: By default if sampling set is present ganak will do projected model counting, to turn off projected model counting use the -noPMC flag.

Benchmarks

Few toy benchmarks are given in benchmarks directory. Full list of benchmarks used for our experiments is available here

Issues, questions, bugs, etc.

Please click on "issues" at the top and create a new issue. All issues are responded to promptly.

How to Cite

@inproceedings{SRSM19,
title={GANAK: A Scalable Probabilistic Exact Model Counter},
author={Sharma, Shubham and  Roy, Subhajit and  Soos, Mate and  Meel, Kuldeep S.},
booktitle={Proceedings of International Joint Conference on Artificial Intelligence (IJCAI)},
month={8},
year={2019}
}

Contributors

• Shubham Sharma ([email protected])
• Mate Soos ([email protected])
• Subhajit Roy ([email protected])
• Kuldeep Meel ([email protected])